Google Pixel 6 Pro
Geekbench AI Score
200
Single Precision Score
1222
Half Precision Score
4330
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 03 2025 10:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 6 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
131
24.4 IPS |
|
|
Image Classification (HP)
|
100% |
4267
793.5 IPS |
|
|
Image Classification (Q)
|
99% |
6091
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
3108
50.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8160
132.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
195
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
16256
19.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
39959
46.8 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.16 IPS |
|
|
Object Detection (HP)
|
100% |
118
9.36 IPS |
|
|
Object Detection (Q)
|
87% |
366
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
335
3.98 IPS |
|
|
Face Detection (HP)
|
100% |
8630
102.5 IPS |
|
|
Face Detection (Q)
|
97% |
16042
191.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
261
2.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
16967
130.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
23792
219.0 IPS |
|
|
Style Transfer (SP)
|
100% |
440
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
2479
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
123
4.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11254
417.0 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.6 IPS |
|
|
Text Classification (HP)
|
100% |
160
213.5 IPS |
|
|
Text Classification (Q)
|
92% |
1500
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
57% |
200
4.88 IPS |
